Company Filing History:
Years Active: 2019-2020
Title: Chang Yi: Innovator in Vehicle Identification Technologies
Introduction
Chang Yi is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of vehicle identification technologies, holding a total of 2 patents. His work focuses on enhancing the accuracy and reliability of automatic license plate recognition systems.
Latest Patents
Chang Yi's latest patents include innovative systems and methods for improving vehicle identification. One of his notable inventions is the "Automatic detection and correction of license plate misidentification." This patent discloses a system that automatically corrects erroneous license plate numbers generated by automatic license plate recognition. The method involves selecting a set of adjacent license plate recognition stations and accessing an error pattern probability matrix to determine a corrected license plate number, even in cases where characters are missing due to visual obstructions.
Another significant patent is the "Automatic identification of cloned vehicle identifiers." This invention provides a system for detecting cloned vehicle identifiers by analyzing legitimate and illegitimate trajectory information. The decision model trained on this data helps identify vehicles potentially using cloned identifiers, allowing enforcement agents to be notified of such instances.
Career Highlights
Chang Yi is currently employed at SAP SE, where he continues to develop innovative solutions in the field of vehicle identification. His expertise and contributions have positioned him as a key player in advancing technology in this area.
Collaborations
Chang has collaborated with notable colleagues, including Qiong Luo and Guangji Zhu, who have contributed to his projects and innovations.
Conclusion
Chang Yi's work in vehicle identification technologies showcases his commitment to innovation and problem-solving. His patents reflect a deep understanding of the challenges in automatic license plate recognition and vehicle identification, making him a valuable contributor to the field.